Page Comparison

This page provides examples of what your input and output data might look like in your stream’s Data aggregator after your stream has been run at least once. These views will help you with troubleshooting and validating the data transformation process within the Data aggregator.

Here are some example streams that use the Data aggregator function. These are pre-configured streams that can be found and run executed from the Usage Engine platform for training learning purposes. See https://infozone.atlassian.net/wiki/x/rMB3 for more details.

• Printing as a Service

• Summarize Monthly Usage Data

• Cultflicks Video Streaming

Input data

The input data window shows the raw data received by the Data aggregator from the previous functions in the stream. This view can help you to verify the incoming data that will be used for aggregation. There are two tab views, Table and Tree.

Output data

The Output data shows a subset of the aggregated data. It will show the data grouped and summarized based on the criteria set in the aggregator's configuration, for example, total consumption, number of occurrences, or maximum values for each group. It will allow you to inspect the final aggregated data and verify that the function has correctly applied the aggregation rules based on the configuration. There are three tab views, Table, Tree and Log.

Metadata

You can view and access the following metadata properties of aggregated sessions by using the Script function. Use the meta-variable as mentioned in https://infozone.atlassian.net/wiki/x/SI94There may be instances where you want to apply certain rules to aggregated data, such as applying a discount or adjusting values based on specific business rules. You can achieve this by using the Script function. If you need to reference metadata from aggregated sessions, such as the number of records or timestamps, you can access it using the meta-variable as described in Supported Variables/APIs.

{"origin":"Data_Aggregator","count":7,"flushType":"TIMEOUT","firstEvent":"2022-04-08T17:35:53.239Z","lastEvent":"2022-04-08T17:38:17.315Z","lastCall":false}